# What is adaptive learning?

> Adaptive learning adjusts what each student sees next to how they're doing. Here's how it works, what AI adds, and what to watch out for.

Learn · Glossary

Adaptive learning is teaching that adjusts what each student does next (the difficulty, the topic, the pace) based on how they're doing, so each student gets a path that fits.

- Page: https://sparkmentis.ai/learn/adaptive-learning

## What adapts

- Difficulty of the next question
- Which topic comes next
- How much help is given
- How often old topics come back

## What to watch out for

Adaptation needs good data and a teacher in the loop. A system that only adapts difficulty can keep a student stuck on easy work; the best ones show teachers why a student is on a path.

## Questions

**Is the digital SAT adaptive?**

Yes: the second module of each section adapts to how the first went.

**Does SparK-12 adapt?**

Students get learning paths that adjust to their pace, and teachers see why.

## Related

- [SparK-12](https://sparkmentis.ai/products/spark-12.md)
- [SAT prep](https://sparkmentis.ai/features/ai-sat-prep.md): SparkPrep
- [SparkMentor: Mistake tracker](https://sparkmentor.sparkmentis.ai/features/mistake-tracker): Every slip becomes practice
- [What is learning analytics?](https://sparkmentis.ai/learn/learning-analytics.md): Glossary

## Book a demo

Email info@sparkmentis.ai (subject "SparkMentis demo request") with your organization, your role and the products you're interested in.